Processing path optimization to achieve desired texture in polycrystalline materials

Abstract A processing path model proposed earlier by Bunge is used for the prediction and optimization of texture in polycrystalline hexagonal materials. The model relies on a principal of conservation in the orientation space and the existence of a texture evolution parameter. The numerical simulations from a well-established crystal plasticity model produced the initial data for the calculation of the processing path parameters. The model is then capable of predicting the texture evolution starting from other initial textures for any specific deformation path. The simulated results from the processing path model agree well with those from the crystal plasticity model. The family of processing path lines developed based on the present model can be used as a guide to optimize the processing paths that will lead to a microstructure with desired properties.

[1]  A. Clément Prediction of deformation texture using a physical principle of conservatiol , 1982 .

[2]  I. Chen,et al.  On the deformation texture of square-shaped deep-drawing commercially pure Ti sheet , 2003 .

[3]  R. Wilson,et al.  Characterization of mechanical anisotropy in titanium alloys , 1998 .

[4]  Helmut Klein,et al.  Modelling deformation texture formation by orientation flow fields , 1991 .

[5]  T. Böhlke,et al.  A texture component model for anisotropic polycrystal plasticity , 2005 .

[6]  J. Schultze,et al.  Anisotropy micro-ellipsometry for in-situ determination of optical and crystallographic properties of anisotropic solids and layers with TiTiO2 as an example , 1996 .

[7]  P. Dawson,et al.  Modeling deformation induced textures in titanium using analytical solutions for constrained single crystal response , 1995 .

[8]  S. Ahzi,et al.  Polycrystalline plastic deformation and texture evolution for crystals lacking five independent slip systems , 1990 .

[9]  B. Adams,et al.  Microstructures by design: linear problems in elastic–plastic design , 2004 .

[10]  P. Gilormini,et al.  Variational self-consistent estimates for texture evolution in viscoplastic polycrystals , 2003 .

[11]  Z. Farhat Contribution of crystallographic texturing to the sliding friction behaviour of fcc and hcp metals , 2001 .

[12]  K. H. Virnich,et al.  On the problem of the reproduction of the true orientation distribution from pole figures , 1981 .

[13]  H. Garmestani,et al.  A texture evolution model in cubic-orthotropic polycrystalline system , 2005 .

[14]  Hamid Garmestani,et al.  A Linear Model of Processing Path in Cubic-Orthotropic System , 2004 .

[15]  Robert J. Asaro,et al.  Elastic-plastic crystal mechanics for low symmetry crystals , 1995 .

[16]  L. Anand,et al.  Plasticity of initially textured hexagonal polycrystals at high homologous temperatures: application to titanium , 2002 .

[17]  M. Bache A review of dwell sensitive fatigue in titanium alloys: the role of microstructure, texture and operating conditions , 2003 .

[18]  Hamid Garmestani,et al.  Evolution of crystal orientation distribution coefficients during plastic deformation , 2003 .

[19]  H. Garmestani,et al.  Microstructure-sensitive design of a compliant beam , 2001 .

[20]  S. Kalidindi,et al.  Microstructure sensitive design of an orthotropic plate subjected to tensile load , 2004 .

[21]  W. Evans,et al.  Impact of texture on mechanical properties in an advanced titanium alloy , 2001 .

[22]  P. P. Castañeda,et al.  Accurate estimates for the creep behavior of hexagonal polycrystals , 2001 .